3 papers
stat.ME2026
Efficient Bayesian Inference for Benter Models on Ranked Data
Michael Pearce
The Benter model for partial and complete rankings generalizes the well-known Plackett-Luce by attaching rank-level dampening parameters that permit some ranking stages to be noisi…
stat.ME2024
Bayesian Rank-Clustering
Michael Pearce, Elena A. Erosheva
Traditional statistical inference on ordinal comparison data results in an overall ranking of objects, e.g., from best to worst, with each object having a unique rank. However, ran…
math.ST2022
Estimating the Ratio of Means in a Zero-inflated Poisson Mixture Model
Michael D. Perlman
The problem of estimating the ratio of the means of a two-component Poisson mixture model is considered, when each component is subject to zero-inflation, i.e., excess zero counts.…